Internet user behavior analyzing and early-warning system and method

A behavior analysis and early warning system technology, applied in the field of network security systems, can solve the problems of not being able to obtain detailed information of users, not being able to take into account low cost, and simultaneously solving problems such as lagging and not being able to warn users of potential harm

Active Publication Date: 2014-04-30
孙伟力
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] For this reason, the technical problem to be solved by the present invention is that in the prior art, the detailed information of the user's use of the Internet cannot be obtained through the buried point program, and the problem of mining and analyzing user behavior through fixed calculation methods cannot take into account low cost and solve lag at the same time Unable to warn of the potential harm of new network behaviors of users

Method used

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Examples

Experimental program
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Embodiment 1

[0060] see figure 1 Shown, be a kind of Internet user behavior analysis early warning system of an embodiment of the present invention, comprise following module:

[0061] Data packet collection module 1: collect all data packets on the network port of the monitored device, and send the data packets to the data storage server 2. The specific process is: the data packet collection module 1 carries out data packet collection based on Libpcap (packet capture function library) through the network card driver layer of the monitored equipment, and can collect such as QQ chat records, Fetion, WeChat, Weibo, etc. The server logs in the data such as the website, and sends the copied data package to the data storage server 2.

[0062] The data storage server 2 stores the collected data packets; the data storage server 2 may be a conventional server device. The data storage server 2 can automatically delete the historical data stored in the data storage server 2 after the set period is...

Embodiment 2

[0068] As an embodiment of the present invention, on the basis of above-mentioned embodiment 1, the data packet excavation module 3 in the described a kind of Internet user behavior analysis early warning system classifies the valid data obtained by filtering by the following categories:

[0069] (1) Website link, including the link of the website visited by the user, as well as the summary of the main content of the website and the label content (it can also be the main title of the website).

[0070] (2) User identity, including user input account and password information.

[0071] (3) Key words, including words and short sentences with high user input frequency (through information retrieval, record the words and short sentences with high user input frequency).

[0072] Other categories can also be set as required, and the purpose of the present invention can also be achieved.

[0073] In the Internet user behavior analysis and early warning system described in the present...

Embodiment 3

[0075] As an embodiment of the present invention, on the basis of the above-mentioned embodiment 1 or 2, the matching template further includes the following three matching sub-templates:

[0076] (1): Specific website classification sub-template, which automatically updates and stores website information in real time or manually adds website information, and divides websites into: pornographic websites, confidential websites, reactionary websites, fraudulent websites, and violent websites.

[0077] (2): Specific group classification sub-template, which is connected to the database of the relevant security department, obtains information records of relevant specific groups or manually adds information records of specific groups, and classifies specific groups into: fugitives, suspects, and reactionary tendencies violent, suicidal, or suicidal.

[0078] (3): A specific keyword sub-template, setting filter conditions to automatically intercept illegal keywords or keywords that a...

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Abstract

The invention relates to an Internet user behavior analyzing and early-warning system and method. A data packet acquisition module acquires a complete network data packet and stores the complete network data packet into a data storage server, data are retrieved and filtered through a data packet mining module, the data obtained through filtering are classified according to different classifications, and the effectiveness of the classified data is guaranteed. The classified data obtained through the retrieval are matched with early-warning conditions stored in a matching template, the behaviors of a user for using the Internet can be analyzed, and the harmfulness of the behavior of the user for using the Internet is automatically judged. Through a matching template automatic generating module of the system, a template database can be intelligently updated through combination of manpower and machines, the timeliness of the matching template is guaranteed while manual cost is reduced, and the method for judging the behaviors of the user for using the Internet is different from a traditional fixed calculation method. The matching results of detailed data of the user for using the Internet in all the classifications are collected and fed back, and thus network monitoring personnel can perform first-time early warning on network harms to happen.

Description

technical field [0001] The invention relates to a network security system and method. Specifically, it relates to an internet user behavior analysis early warning system and method. Background technique [0002] With the continuous development of Internet technology, bad information has an increasing impact on society. Network tools, with the continuous emergence of QQ, Weibo, etc., make the transmission of information very fast, and a little bit of bad information, such as rumors, can be spread on a large scale. How to standardize and guide users to surf the Internet correctly and control the dissemination of bad information is the core issue that network managers must face. As the main means to prevent network hazards is to monitor and analyze user network behavior. There are usually two types of traditional network monitoring behaviors: one is to collect and record the online information of the monitored netizens through data packet collection, so as to further disting...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L12/24H04L12/26
Inventor 孙伟力杨超
Owner 孙伟力
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